ICAOD: sens.bayes.control – R documentation

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sens.bayes.control

Returns Control Parameters for Approximating The Integrals In The Bayesian Sensitivity Functions

Description

This function returns two lists each corresponds to an implemented integration method for approximating the integrals in the sensitivity (derivative) functions for the Bayesian optimality criteria.

Usage

sens.bayes.control(
  method = c("cubature", "quadrature"),
  cubature = list(tol = 1e-05, maxEval = 50000, absError = 0),
  quadrature = list(type = c("GLe", "GHe"), level = 6, ndConstruction = "product",
    level.trans = FALSE)
)

Arguments

`method`	A character denotes which method to be used to approximate the integrals in Bayesian criteria. `"cubature"` corresponds to the adaptive multivariate integration method using the `hcubature` algorithm (default). `"quadrature"` corresponds the traditional quadrature formulas and calls the function `createNIGrid`. The tuning parameters are adjusted by `crt.bayes.control`. Default is set to `"cubature"`.
`cubature`	A list that will be passed to the arguments of the `hcubature` function. See 'Details' of `crt.bayes.control`.
`quadrature`	A list that will be passed to the arguments of the `createNIGrid` function. See 'Details' of `crt.bayes.control`.

Value

A list of control parameters for approximating the integrals.

Examples

sens.bayes.control()
sens.bayes.control(cubature = list(maxEval = 50000))
sens.bayes.control(quadrature =  list(level = 4))

ICAOD

Optimal Designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm (ICA)

v1.0.1

GPL (>= 2)

Authors

Ehsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut], Seongho Kim [ctb]

Initial release